My Resume

📧 Email: [email protected]
📱 Phone: +234 703 815 4198
🌍 Location: Lagos, Nigeria (Open to Remote/Relocation)
💼 LinkedIn: linkedin.com/in/mubarak-ibrahim1
💻 GitHub: github.com/hellomuba
🌐 Portfolio: hellomuba.github.io

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🚀 About Me

Results-driven Data Analyst with expertise in Python, SQL, and business intelligence tools. Proven track record of:

• 🚀 Reducing analysis time by 85%
• 💰 Identifying $3.5M+ in business opportunities through data insights
  Specialized in ETL pipeline development, predictive analytics, and automated data processing solutions.

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💼 Experience

Beats by Dre | Consumer Insights Analyst Extern

📍 Remote, New York, United States | 2024

• 💡 Identified $3.5M+ in product opportunities via competitor analysis of 10,000+ customer reviews.
• 🤖 Achieved 85% reduction in analysis time by automating data workflows with Python.
• 🌟 Built AI-powered sentiment analysis frameworks using Gemini AI for 6 months of customer feedback.
• 📊 Delivered 3 interactive dashboards for real-time analysis using Seaborn and Matplotlib.

ALX Africa | Data Analyst Fellow

📍 Lagos, Nigeria | 2023

• 📈 Optimized SQL-based ETL pipelines processing 1M+ daily records, improving efficiency by 40%.
• 🔍 Boosted data accuracy by 35% through automation of critical workflows using Python & SQL.
• 🤝 Collaborated cross-functionally for data-driven strategic planning, enabling better decision-making.

Xtamaliy | IT & Digital Operations Manager

📍 Lagos, Nigeria | 2017 – 2020

• 🚀 Increased efficiency by 40% through platform optimization and analytics.
• 🎯 Improved customer satisfaction metrics by 50% with data-driven digital solutions.
• 🔧 Reduced system downtime by 30% with predictive analytics.

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🎯 Projects

Water Quality Analytics (Maji Ndogo) | Lead Data Analyst

• 🖥️ Designed 4 Power BI dashboards tracking UN SDG6 metrics across 150 locations.
• 🤖 Implemented predictive analytics and KPI tracking for optimized resource allocation.
• 💡 Improved water management for 10,000+ residents using automated reporting systems.

Market Intelligence Dashboard | Beats by Dre Consumer Insights

• ⚙️ Built end-to-end data pipeline using Python, SQL, and Azure to process 11,000+ customer reviews.
• 📊 Uncovered $2M in opportunities through predictive modeling and SWOT analysis.
• 📈 Developed real-time competitive analysis suite with Power BI and Python.

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🎓 Education

• ExploreAI Academy | Nanodegree in Data Analytics | 2024 | South Africa
• Nexford University | MBA: Data Science for Decision Making | 2023 | Washington, DC
• Federal University of Technology | B.Sc. Physics/Electronics | 2014 | Nigeria

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🛠️ Technical Skills

Advanced:
Python, SQL, Power BI, Pandas, NumPy, DAX, Data Mining

Intermediate:
Machine Learning, Tableau, Statistical Analysis, ETL, Azure, Snowflake, Docker

Database & BI:
Data Warehousing, PostgreSQL, MongoDB, Predictive Modeling, Business Intelligence

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🏆 Key Achievements

• 85% reduction in analysis time.
• Identified $3.5M+ opportunities via insights.
• 50% improvement in customer satisfaction metrics.

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📜 Certifications

• Google Data Analytics Professional Certificate
• Data Analytics Nanodegree (ALX Africa/ExploreAI Academy)
• MBA: Data Science for Decision Making (Nexford University)

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🤝 Core Competencies

• Data Pipeline Architecture
• Predictive Analytics
• Statistical Analysis
• Data Visualization
• Business Intelligence
• Machine Learning
• Database Management
• ETL Development